Deep Convolutional LSTM Network-based Traffic Matrix Prediction with Partial Information. - Van An Le; Phi-Le Nguyen; Yusheng Ji (IM, 2019)

Flow aggregation for SDN-based delay-insensitive traffic control in mobile core networks. - Quang Tran Minh 001; Van An Le; Tran Khanh Dang; Nam Thoai; Takeshi Kitahara (IET Commun., 2019)

Task Placement on Fog Computing Made Efficient for IoT Application Provision. - Quang Tran Minh 001; Duy Tai Nguyen; Van An Le; Duc Hai Nguyen 002; Tran Vu Pham (Wirel. Commun. Mob. Comput., 2019)

GCRINT: Network Traffic Imputation Using Graph Convolutional Recurrent Neural Network. - Van An Le; Tien Thanh Le 001; Phi Le Nguyen; Huynh Thi Thanh Binh; Rajendra Akerkar; Yusheng Ji (ICC, 2021)

Multi-time-step Segment Routing based Traffic Engineering Leveraging Traffic Prediction. - Van An Le; Tien Thanh Le 001; Phi Le Nguyen; Huynh Thi Thanh Binh; Yusheng Ji (IM, 2021)

PM2.5 Prediction Using Genetic Algorithm-Based Feature Selection and Encoder-Decoder Model. - Minh Hieu Nguyen; Phi-Le Nguyen; Kien Nguyen 002; Van An Le; Thanh-Hung Nguyen; Yusheng Ji (IEEE Access, 2021)

Deep Reinforcement Learning-based Uplink Power Control in Cell-Free Massive MIMO. - Xiaoqing Zhang 002; Megumi Kaneko; Van An Le; Yusheng Ji (CCNC, 2023)

SFETEC: Split-FEderated Learning Scheme Optimized for Thing-Edge-Cloud Environment. - Van An Le; Jason Haga; Yusuke Tanimura; Truong Thao Nguyen (e-Science, 2024)

Traffic Engineering in Large-scale Networks via Multi-Agent Deep Reinforcement Learning with Joint-Training. - Van An Le; Duc Long Nguyen; Phi Le Nguyen; Yusheng Ji (ICCCN, 2024)

Enhancing the Generalization of Personalized Federated Learning with Multi-head Model and Ensemble Voting. - Van An Le; Nam Duong Tran; Phuong Nam Nguyen; Thanh Hung Nguyen; Phi Le Nguyen; Truong Thao Nguyen; Yusheng Ji (IPDPS, 2024)

Achieving Multi-Time-Step Segment Routing via Traffic Prediction and Compressive Sensing Techniques. - Van An Le; Yusheng Ji; Huu Huy Tran; Phi Le Nguyen; John C. S. Lui (IEEE Trans. Netw. Serv. Manag., 2024)

Deep Learning on Network Traffic Prediction: Recent Advances, Analysis, and Future Directions. - Ons Aouedi; Van An Le; Kandaraj Piamrat; Yusheng Ji (ACM Comput. Surv., 2025)